Special Issue on: "Developments and Issues in Medical Imaging"
Dr. P. Karthigaikumar, Karpagam College of Engineering, India
Dr. Anand Paul, Kyungpook National University, South Korea
Dr. Jude Hemanth, Karunya University, India
Today, medical imaging becomes a crucial part of the medical management of diseases. Biomedical imaging has undergone rapid technological advancements over the last several decades and has seen the development of many new applications. New techniques have been gaining recognition in areas ranging from basic research to clinical applications, and from the cellular level to the whole-organ level. It is an interdisciplinary field that requires teamwork among biologists, medical physicists, computer scientists, biomedical engineers and clinicians of all specialities.
At the same time, issues like radiation during diagnostics seriously affect the human body. The higher the dose of radiation delivered at any one time, however, the greater the risk of long-term damage. If a patient receives repeated doses, harm can also occur from the cumulative effect of those multiple doses over time. Conversely, using insufficient radiation may increase the risk of misdiagnosis, delayed treatment, or, if the initial test is inadequate, repeat testing with the patient exposed to even more radiation.
The purpose of this special issue is to publish original, high-quality papers on innovative research and development in the analysis of medical imaging and issues in medical imaging.
The issue will carry revised and substantially extended versions of selected papers presented at The IEEE Sponsored 11th International Conference on Intelligent Systems and Control (ISCO), but we also strongly encourage researchers unable to participate in the conference to submit articles for this call for public calls.
Suitable topics include, but are not limited to, the following:
- Medical image analysis (e.g. pattern recognition, classification, segmentation, and registration) of anatomical structures and lesions
- Computer-aided detection/diagnosis (e.g. for lung cancer, prostate cancer, breast cancer, colon cancer, liver cancer, brain disease, acute disease, and chronic disease)
- Multi-modality fusion (e.g. MRI/PET, PET/CT, projection X-ray/CT, X-ray/ultrasound) for diagnosis
- analysis and image-guided interventions
- Image reconstruction (e.g. expectation maximization (EM) algorithm, statistical methods, iterative
- reconstruction) for medical imaging (e.g. CT, PET, MRI, X-ray)
- Image retrieval (e.g. context-based retrieval)
- Cellular image analysis (e.g. genotype, phenotype, classification, identification, and cell tracking)
- Molecular/pathologic image analysis (e.g. PET, digital pathology)
- Dynamic, functional, physiologic, and anatomic imaging
- Radiation issues
- Other issues in medical imaging
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).
All papers are refereed through a peer review process.
All papers must be submitted online. To submit a paper, please read our Submitting articles page.
Manuscripts due by: 30 April, 2017